With IBP 1911 we added some new expert settings to the TS-based supply optimizer profile. In future these options will also be available for the constrained forecast run using optimizer in order-based planning.
In general, these expert settings sh...
As stated in blog ”Supply Optimizer: the Mathematics behind” the optimizer transforms the business scenario into a mathematical model representation - a mixed-integer linear program (MILP). This MILP is then solved via one of the best solvers availab...
Introduction
To find the cost-optimal solution, the optimizer transforms the IBP for Supply model into a mathematical representation. This representation is called Mixed-Integer Linear Program (MILP, see also Linear programming - Wikipedia, the free...
Hello Luca,the optimizer also gets demands from not selected subnetworks that are connected to the current selection. These subnetwork demands are also passed as independent/location demands to the optimizer and are therefore included in the location...
Hi J. Sounds strange - do you now get also different adjusted transport fulfillments? Probably best to open an according support case, so that all the details can be seen.
Hi,if the optimizer retains some inventory to fulfill later pseudo-hard constraints, there must be some cost benefit to do this. E.g. inventory targets or SDOS. You can try using numerical pre-optimization. In the pre-solve step such secondary costs ...
Hi,your scenario should work with a production source that has a lead time of 4 weeks and resource consumptions with according Capacity Consumption Offsets.See Production Lead Time, section Capacity Consumption Offsets for more information.Cheers, Ca...